Terms of Machine Learning?

Question

I've seen the Machine Learning course, but some of terms are confusing me

1) model
2) label
3) std
4) variance

Please someone tell the easy definition of these 4 so that I can move on!

Answer 1

You can review the previous lessons whenever you want and look up the parameters in the documentation

Answer 2

Hi ROCKY 🎸

Model: is the relation between feature and label

Label: it's you can say that data you want means like if you are making a spam detector than label can be "spam" or "not spam"

std & variance - these are from simple statistics you can get more information from any website!

Happy Learning 🙂

Answer 3

1) model: a simplified way to describe the reality (often mathematically)

2) label: a tag or a name on something

3) std: standard deviation; a way to messure statistical dispersion

4) variance: another way to messure statistical dispersion

Answer 4

Thanks Lisa , Per Bratthammar and Abhiyantā